Research Progress in Intelligent Exercise Monitoring Based on Triboelectric Nanogenerator

IF 0.6 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
Jing Gao, Meiru Jiang, Ning Ba, Yupeng Mao
{"title":"Research Progress in Intelligent Exercise Monitoring Based on Triboelectric Nanogenerator","authors":"Jing Gao, Meiru Jiang, Ning Ba, Yupeng Mao","doi":"10.1166/jno.2023.3425","DOIUrl":null,"url":null,"abstract":"The coming of the 5G era in the Internet of Things (IoT) opens progress in cross-sectoral research in multiple disciplines. All physiological indicators of the human body are collected through sensors to provide new ideas for developing innovative sports, wearable devices, and modern\n intelligent venues for IoT. Conventional sensors require an external power source and have a limited lifespan and maintenance cost. Triboelectric nanogenerators (TENG), a new self-powered sensing technology that collects mechanical energy from bodily motions, can break through these limitations\n and be used in intelligent sports applications. Firstly, TENG can capture kinematic, biochemical, electrophysiological, and tissue dynamics information from the human body. Secondly, the low-frequency mechanical energy of the human body is not only physiological information but can also be\n used to power microelectronic devices to transmit big data in sports. In conclusion, we discuss TENG-based wearable sensing systems’ challenges and future opportunities.","PeriodicalId":16446,"journal":{"name":"Journal of Nanoelectronics and Optoelectronics","volume":" ","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Nanoelectronics and Optoelectronics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1166/jno.2023.3425","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

The coming of the 5G era in the Internet of Things (IoT) opens progress in cross-sectoral research in multiple disciplines. All physiological indicators of the human body are collected through sensors to provide new ideas for developing innovative sports, wearable devices, and modern intelligent venues for IoT. Conventional sensors require an external power source and have a limited lifespan and maintenance cost. Triboelectric nanogenerators (TENG), a new self-powered sensing technology that collects mechanical energy from bodily motions, can break through these limitations and be used in intelligent sports applications. Firstly, TENG can capture kinematic, biochemical, electrophysiological, and tissue dynamics information from the human body. Secondly, the low-frequency mechanical energy of the human body is not only physiological information but can also be used to power microelectronic devices to transmit big data in sports. In conclusion, we discuss TENG-based wearable sensing systems’ challenges and future opportunities.
基于摩擦电纳米发电机的智能运动监测研究进展
物联网5G时代的到来开启了多学科跨部门研究的进展。通过传感器收集人体的所有生理指标,为开发创新运动、可穿戴设备和物联网现代智能场馆提供新思路。传统的传感器需要外部电源并且具有有限的寿命和维护成本。摩擦电纳米发电机(TENG)是一种新的自供电传感技术,可以从身体运动中收集机械能,可以突破这些限制,用于智能体育应用。首先,TENG可以捕捉人体的运动学、生物化学、电生理学和组织动力学信息。其次,人体的低频机械能不仅是生理信息,还可以用于为微电子设备供电,以传输体育运动中的大数据。最后,我们讨论了基于TENG的可穿戴传感系统的挑战和未来机遇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Nanoelectronics and Optoelectronics
Journal of Nanoelectronics and Optoelectronics 工程技术-工程:电子与电气
自引率
16.70%
发文量
48
审稿时长
12.5 months
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信